Abstract
Early warnings and response systems (EWS) are of up-most importance to identify disease outbreaks and to initiate life saving interventions. Up to date disease and vector-surveillance function as early warning systems to detect dengue outbreaks at early stages, so as to respond early to outbreaks and save resources. Currently, there is no vaccine or causal treatment for dengue fever, and methods to reduce the life saving burden relying on EWS, and early warning responses. This paper investigates the cost-effectiveness of EWS for Brazil, based on a decision analytical model.
Highlights
Warnings and response systems (EWS) are of upmost importance to identify disease outbreaks and to initiate life saving interventions
There is no vaccine or causal treatment for dengue fever, and methods to reduce the life saving burden relying on Early warnings and response systems (EWS), and early warning responses
This paper investigates the cost-effectiveness of EWS for Brazil, based on a decision analytical model
Summary
Warnings and response systems (EWS) are of upmost importance to identify disease outbreaks and to initiate life saving interventions. Up to date disease and vector-surveillance function as early warning systems to detect dengue outbreaks at early stages, so as to respond early to outbreaks and save resources. There is no vaccine or causal treatment for dengue fever, and methods to reduce the life saving burden relying on EWS, and early warning responses. This paper investigates the cost-effectiveness of EWS for Brazil, based on a decision analytical model
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